Paper
25 October 1988 Mathematical Transform Of (R, G, B) Color Data To Munsell (H, V, C) Color Data
Makoto Miyahara, Yasuhiro Yoshida
Author Affiliations +
Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.969009
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States
Abstract
In studying new-generation color image codings, it is very effective 1) to code signals in the space of inherent tri-attributes of human color perception, and 2) to relate a coding error with perceptual degree of deteriorations. For these purpose, we have adopted the Munsell Renotation System in which color signals of tri-attributes of human color perception (Hue, Value and Chroma) and psychometrical color differences are defined. In the Munsell Renotation System, however, intertransformation between (RGB) data and corresponding color data is very cumbersome. Because the intertransformation depends on a look up table. This article presents a new method of mathematical transformation. The mathematical transformation is obtained by multiple regression analysis of 250 color samples, which are uniformly sampled from whole color ranges that a conventional NTSC color TV camera can present. The new method can transform (RGB) data to the data of the Munsell Renotation System far better than the conventional method given by the CIE(1976)L*a*b*.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Makoto Miyahara and Yasuhiro Yoshida "Mathematical Transform Of (R, G, B) Color Data To Munsell (H, V, C) Color Data", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.969009
Lens.org Logo
CITATIONS
Cited by 105 scholarly publications and 1 patent.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
RGB color model

Image processing

Color difference

Signal processing

Visual communications

Human vision and color perception

Image compression

RELATED CONTENT

A method of color correction of camera based on HSV...
Proceedings of SPIE (September 02 2014)
Compression-aware demosaicing methods
Proceedings of SPIE (May 22 2002)
Image segmentation based on ULCS color difference
Proceedings of SPIE (November 01 1991)

Back to Top